2012
DOI: 10.1007/s12193-012-0106-8
|View full text |Cite
|
Sign up to set email alerts
|

Data-based analysis of speech and gesture: the Bielefeld Speech and Gesture Alignment corpus (SaGA) and its applications

Abstract: Communicating face-to-face, interlocutors frequently produce multimodal meaning packages consisting of speech and accompanying gestures. We discuss a systematically annotated speech and gesture corpus consisting of 25 route-and-landmark-description dialogues, the Bielefeld Speech and Gesture Alignment corpus (SaGA), collected in experimental face-to-face settings. We first describe the primary and secondary data of the corpus and its reliability assessment. Then we go into some of the projects carried out usin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
20
0
3

Year Published

2012
2012
2024
2024

Publication Types

Select...
4
3
2

Relationship

2
7

Authors

Journals

citations
Cited by 39 publications
(27 citation statements)
references
References 40 publications
0
20
0
3
Order By: Relevance
“…Previous works have investigated various aspects of the production, perception, processing, and development of gestures (e.g., Kelly & Church 1998;Kelly & Barr 1999;Mayberry & Nicoladis 2000;McNeil et al 2000;O'Neill et al 2002;Holler & Beattie 2003a;b;Holle & Gunter 2007;Özyürek et al 2007;Alibali et al 2009;Gullberg 2009;Kelly et al 2009;Kidd & Holler 2009;Botting et al 2010;Göksun et al 2010;Cartmill et al 2012;Dick et al 2012;Lücking et al 2012;Özçalişkan & Dimitrova 2013;Emmorey & Özyürek 2014;Hrabic et al 2014;Özyürek 2014;Wagner et al 2014). While many of these existing studies have examined the meanings that co-speech gestures contribute, they do not target the precise ways in which gestures may interact with the logical structure of the sentences with which they co-occur.…”
Section: Experimental Investigationmentioning
confidence: 99%
“…Previous works have investigated various aspects of the production, perception, processing, and development of gestures (e.g., Kelly & Church 1998;Kelly & Barr 1999;Mayberry & Nicoladis 2000;McNeil et al 2000;O'Neill et al 2002;Holler & Beattie 2003a;b;Holle & Gunter 2007;Özyürek et al 2007;Alibali et al 2009;Gullberg 2009;Kelly et al 2009;Kidd & Holler 2009;Botting et al 2010;Göksun et al 2010;Cartmill et al 2012;Dick et al 2012;Lücking et al 2012;Özçalişkan & Dimitrova 2013;Emmorey & Özyürek 2014;Hrabic et al 2014;Özyürek 2014;Wagner et al 2014). While many of these existing studies have examined the meanings that co-speech gestures contribute, they do not target the precise ways in which gestures may interact with the logical structure of the sentences with which they co-occur.…”
Section: Experimental Investigationmentioning
confidence: 99%
“…An example analysis of the internal structure of an instance of creative gesticulation is given in Figure 5. The analysis concerns a fragment of the Speech and Gesture Alignment (SaGA) corpus (Lücking et al 2013), which contains video recordings of German direction giving discourse. As seen in Figure 4, speech and gesture are employed in tandem to describe a physical landmark that is relevant for the route description.…”
Section: Gesture-internal Compositionality: Conventional and Ad Hoc Amentioning
confidence: 99%
“…A informação da trajetória das mãos e da posição de partes do corpoé explorada por Abid et al [1], na tarefa de reconhecimento e classificação de gestos em tempo real, e por Liu et al [17], no reconhecimento de atividades humanas complexas. A trajetória junto com o posicionamento de objetos com o qual as pessoas estão interagindo nas cenas capturadas compõem a representação de dados usada por Lücking et al [21] e Rosani et al [27] também na tarefa de reconhecimento e classificação de gestos em tempo real.…”
Section: Formas De Representação De Dadosunclassified
“…Modelo probabilístico e Grafos AND/OR Hierarquia na representação das poses [3] 95 Segmental HMM Estados e transições; predição estruturada [17] 93,4 Markov Semantic Model Estados e transições; predição estruturada [24] 91,76 HMM, SVM Estados e transições; predição estruturada [14] -Inspeção visual (humana) Analisa características linguísticas [21] -Gramáticas Uso de gramáticas para tomada de decisão [4] 100 Rede neural artificial recorrente Análise de sequências (temporais) [7] 96,23 K-means, SVM e Gramáticas Uso de gramáticas para tomada de decisão [9] 98,5…”
Section: Estudo Acuráciaunclassified